Skip to main content

Graphical interface for mcvqoe measurements

Project description

Summary

The purpose of this software is to make quality of expirence (QoE) measurements for push-to-talk (PTT) communications systems. This Python package develoved by NIST’s PSCR division contains a GUI for making these measurements. This GUI is the recommended way to run the following QoE measurements:

MCV-QoE-GUI Python Package

The mcvqoe GUI package depends on the following other PSCR published packages:

In addition the following dependencies can be found in the Python Package index (PyPI) and will be downloaded automatically, if needed, when mcvqoe is installed:

  • numpy
  • pandas
  • dash
  • flask
  • plotly
  • requests
  • pillow

To install the package run the following:

pip install mcvqoe

This is the easiest way to install all MCV QoE measurement software, as all the above packages are dependencies, and will be installed via PyPI.

Alternatively, one could clone this repository and run the following from the root of the git repository:

pip install .

Running with terminal output

On windows, the GUI entry point, mcvqoe causes all console output from the GUI to be lost (on windows). If the input is desired on windows the GUI can also be run with the following:

python -m mcvqoe.hub

Evaluation GUI

Data can be evaluated by using the Process Data menu from the GUI. Here users can select data they wish to process and a separate, browser-based interface will initialize.

License

This software was developed by employees of the National Institute of Standards and Technology (NIST), an agency of the Federal Government. Pursuant to title 17 United States Code Section 105, works of NIST employees are not subject to copyright protection in the United States and are considered to be in the public domain. Permission to freely use, copy, modify, and distribute this software and its documentation without fee is hereby granted, provided that this notice and disclaimer of warranty appears in all copies.

THE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM INFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE SOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT SHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT, INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR IN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY, CONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR PROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT OF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcvqoe-1.2.3.tar.gz (203.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcvqoe-1.2.3-py3-none-any.whl (210.1 kB view details)

Uploaded Python 3

File details

Details for the file mcvqoe-1.2.3.tar.gz.

File metadata

  • Download URL: mcvqoe-1.2.3.tar.gz
  • Upload date:
  • Size: 203.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for mcvqoe-1.2.3.tar.gz
Algorithm Hash digest
SHA256 512ee8338195a037720504f34e8641cc37cd5e8350ac008ecc60ec252c8372ab
MD5 a8dc827a36646a3acb228d2d31004bb7
BLAKE2b-256 c7f47e09811dbc02dde419e6dac04bc78aec99b3ecfd2fc650513d2599e33917

See more details on using hashes here.

File details

Details for the file mcvqoe-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: mcvqoe-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 210.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for mcvqoe-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 52ea737e6678501e168dee6090608d871ba2f805a0b43593df96fcd7fa9f352a
MD5 ae168432be90171bed8859b1d1f2c704
BLAKE2b-256 abafaca7588a383fdf89786ed45eb549810c0f974324d890392b228e185ac59f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page